- Web Scraping
- Data Analysis
- Jupyter
- Exploratory Data Analysis
- Data Science
- Data Manipulation
- Programming Principles
- Integrated Development Environments
- Data Structures
- Data Import/Export
- R Programming
Introduction to R Programming for Data Science
Completed by G. G. Sasikala Maduwanthi Premarathna
June 23, 2023
10 hours (approximately)
G. G. Sasikala Maduwanthi Premarathna 's account is verified. Coursera certifies their successful completion of Introduction to R Programming for Data Science
What you will learn
Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.
Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.
Construct and manipulate R data structures, including vectors, factors, lists, and data frames.
Read, write, and save data files and scrape web pages using R.
Skills you will gain
